Search
ChatPaper
AI Writing
analysis
Analysis
编组
Open Data
more
More
RankingsMust ReadingJournal&ConferenceAI TRAI HistoryMaster Reading TreeXiaomai's Star TalentsTrajectoryTalentNDI TrackerAI sign LanguageOpen
VIPCreated with Sketch.

Assessment of fractional flow reserve in intermediate coronary stenosis using optical coherence tomography-based machine learning.

Jung-Joon Cha,Ngoc-Luu Nguyen,Cong Tran,Won-Yong Shin,Seul-Gee Lee,Yong-Joon Lee,Seung-Jun Lee,Sung-Jin Hong,Chul-Min Ahn,Byeong-Keuk Kim,Young-Guk Ko, Donghoon Choi, Myeong-Ki Hong, Yangsoo Jang,Jinyong Ha,Jung-Sun Kim

Frontiers in cardiovascular medicine（2023）

Cited 1|Views56
No score
Abstract
OCT-based ML-FFR showed good diagnostic performance in predicting FFR irrespective of the coronary territory. Because the study was a small-size study, the results should be warranted the performance in further large-scale research.
More
Translated text
Key words
cardiovascular imaging,fractional flow reserve,machine learning,optical coherence tomography,preoperative planning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined